storable
Job Overview: We are looking for a skilled DevOps Engineer with 4+ years of experience in building, automating, and managing scalable infrastructure. The ideal candidate should have strong expertise in Kubernetes, scripting, and a basic understanding of AI/ML workflows. Key Responsibilities: Design, implement, and manage CI/CD pipelines for application deployment Work with containerization and orchestration tools, especially Kubernetes Automate infrastructure provisioning and configuration management Monitor system performance, reliability, and availability Collaborate with development and QA teams for seamless releases Troubleshoot and resolve infrastructure and deployment issues Support AI/ML model deployment and basic MLOps workflows Required Skills: 4+ years of experience in DevOps or related roles Strong hands-on experience with Kubernetes Proficiency in scripting languages such as Python, Bash, or Shell Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.) Knowledge of cloud platforms (AWS / Azure / GCP) Experience with containerization tools like Docker Understanding of Infrastructure as Code (Terraform, CloudFormation, etc.) Preferred Skills: Basic knowledge of AI/ML concepts and model deployment Familiarity with MLOps tools and workflows Experience with monitoring tools (Prometheus, Grafana, ELK stack) Knowledge of security best practices in DevOps